IECata: interpretable bilinear attention network and evidential deep learning improve the catalytic efficiency prediction of enzymes
Sign Up to like & getrecommendations! Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf283
Abstract: Abstract Enzyme catalytic efficiency (kcat/Km) is a key parameter for identifying high-activity enzymes. Recently, deep learning techniques have demonstrated the potential for fast and accurate kcat/Km prediction. However, three challenges remain: (i) the limited size… read more here.
Keywords: deep learning; catalytic efficiency; evidential deep; prediction ... See more keywords
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3583410
Abstract: Evidential Deep Learning (EDL) is an emerging method for uncertainty estimation that provides reliable predictive uncertainty in a single forward pass, attracting significant attention. Grounded in subjective logic, EDL derives Dirichlet concentration parameters from neural… read more here.
Keywords: deep learning; edl; evidential deep; logic ... See more keywords